Mark Wahlberg on using AI in film ‘the right way’ and being open to an AI clone carrying on his legacy
Actor and angel investor Mark Wahlberg says he's OK with using AI in filmmaking, provided it's used "to enhance what you're doing."
About the Author
Randy New is the founder and editor of AI Governance Watch. He is a FinTech executive with over 30 years of experience in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy specializes in cybersecurity intelligence and AI governance.
Randy also publishes Cyber Security Wire and Human vs AI. Learn more about AI Governance Watch and its mission.
What is AI Governance Watch?
AI Governance Watch is a curated news platform that aggregates AI governance, compliance, and regulation news from over 21 trusted sources. It helps professionals track AI policy developments worldwide.
Sources include MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications. As of 2026, the platform has aggregated 14310+ articles across six categories.
How does AI Governance Watch categorize news?
Articles are automatically categorized into six areas: regulation, policy, ethics, compliance, enforcement, and general AI news. Each category focuses on a specific aspect of AI governance.
- Regulation
- Legislative developments, new AI laws, and regulatory proposals from governments worldwide.
- Policy
- Government policy announcements, executive orders, and strategic AI initiatives.
- Ethics
- AI ethics research, responsible AI practices, bias detection, and fairness in AI systems.
- Compliance
- Corporate compliance requirements, audit frameworks, and conformity assessment guidance.
- Enforcement
- Regulatory enforcement actions, fines, investigations, and compliance violations.
- General
- Broader AI industry news relevant to governance and oversight.
Latest AI Governance Articles (2026)
Recently curated articles on AI regulation, policy, and compliance:
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Meta’s new terms may allow it to train AI on news sites for free
Meta's new terms appear to give it permission to crawl and scrape websites "associated" with the businesses that use its platforms - including online publishers, according to a report from Nieman Lab. The new terms, which go into effect on October 30th, say Meta can use this outside content to "develop, improve, research," and "train" its AI products. The new policy applies to business accounts that promote their content across Facebook, Instagram, WhatsApp, and Messenger. As pointed out by Niem
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Veritas expands its anti-counterfeit chip to jewelry, trophies, and fragrance bottles
Counterfeits of luxury goods are a major problem for fashion houses. Counterfeiters are getting better at replicating brands’ marks and passing off dupes, known as “superfakes,” as genuine items. A startup called Veritas wants to tackle the problem with its own chip that verifies goods. Veritas was founded by Luci Holland, a former Tesla technical […]
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Replit’s CEO says the future of work is the ‘self-driving company’
Replit CEO Amjad Masad envisions a future of “self-driving companies,” where AI agents handle day-to-day tasks and people focus on higher-level decisions.
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How many jobs is your state losing to AI? This dashboard tracks the cuts – and the cost
CAIS’ Wage Loss Dashboard puts AI-related job cuts into dollars and cents.
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AI-Generated Hot Girls Are Ripping Off Comedians to Boost Their Horny Content
A network of AI-generated models is using comics’ material to funnel views to their OnlyFans and Fanvue accounts—and there’s not much comedians can do about it.
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How books are being scanned and destroyed to train artificial intelligence
To train artificial intelligence models, millions of physical books are being digitised and destroyed. Our colleagues at France 2 investigate this controversial practice and the risk of seeing many rare second-hand books disappear forever.
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Snapchat and Instagram grooming becoming 'easier'
Online grooming is rising, with children as young as five targeted, prompting calls for reform.
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When it came to Cal AI’s viral success, a small army of influencers paid off
The company generated over $30 million in revenue in two years and was acquired by MyFitness for an undisclosed amount of money in March.
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Porn showing choking or incest to be banned from early November, government says
The move follows a review into pornography regulation in 2025 by Conservative peer Baroness Gabby Bertin
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Living with a stink? Technology might help
Smells from rubbish dumps and industrial facilities are being more carefully monitored.
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Agency AI success depends on software quality and automated testing
As AI reshapes modern software development lifecycles, agencies need to modernize their testing practices alongside it.
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Opinion: A Degree Should Prove More Than the Ability to Produce an Answer
The implementation of AI should not preclude universities from imparting skills that last a lifetime, including the ability to think critically, defend a conclusion and recognize when it is time to learn something new.
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ChatGPT can peek at your Chrome tabs now
OpenAI's ChatGPT Atlas browser is gone, but now ChatGPT's Google Chrome extension is getting some upgrades that allow it to use the browser tabs you already have open. With the extension installed, OpenAI says ChatGPT can now view your browser tabs when you tag Chrome in ChatGPT's web or desktop app, posting a demo video showing someone asking ChatGPT to compare the three tabs they have open with sofas they're considering. A few big upgrades for Chrome users today! We're bringing the power of
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Sega pulls Total War: Shogun 2 remaster from sale following disastrous launch
Sega is removing Total War: Shogun 2 - Complete Edition from storefronts following a disastrous launch where users complained about issues like bugs and upscaling that appears to have been done by AI. Complete Edition, a remaster of the 2011 strategy game, launched on Tuesday, and it bundled the main game and all of its DLC with promised upgrades including "improved visuals," "1440p and 4K UI scaling," and modernized controls. It has an "Overwhelmingly Negative" rating on Steam, where it has alr
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Massachusetts AG Joins Effort to Protect AI Chatbot Data
Attorney General Andrea Joy Campbell and 39 other state attorneys general seek to ensure sensitive user data will be protected if the business behind a popular chatbot platform is sold or transferred.
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The Question to Ask After an AI Pilot: Revise, Scale or Retire?
In the excitement of piloting an AI tool, it's easy to lose sight of the goal: to provide a service to people. At the end of the pilot, teams must decide whether the project should expand, pause or be shelved as a lesson learned.
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The tech backlash is now in theaters
Though movies about disruptive tech founders are nothing new, 2026 has been unusually stacked with features that take a much more critical look at how Silicon Valley is reshaping our reality. Aaron Sorkin's The Social Reckoning frames Mark Zuckerberg as a robotic villain whose ambitions are destabilizing society. Nathan Fielder and Lance Oppenheim's You Can See Everything paints a damning picture of Theranos founder Elizabeth Holmes as she prepares for her ongoing stint in prison. After years of
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We Got Hot and Heavy with Meta’s Muse—And Baffled by Apple’s HomeView
This week on “Uncanny Valley,” we dive into an unexpected Muse feature, shadowy spending from the largest pro-AI super PAC, and men’s tendency to lie about how much they know about AI.
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Wharton Survey Finds Gaps Between Leaders and Employees on AI Training and Adoption
Fourth annual study finds 80% of enterprise leaders report positive AI returns, but only 28% see strong ROI, as workflow transformation, measurable business outcomes and organizational alignment emerge as key markers of AI success. PHILADELPHIA, Oct. 15, 2026 — Four years into the enterprise AI boom, the question is no longer whether companies are using AI. […] The post Wharton Survey Finds Gaps Between Leaders and Employees on AI Training and Adoption appeared first on AIwire.
Frequently Asked Questions About AI Governance
What is AI governance?
AI governance is the set of rules, policies, and frameworks that ensure artificial intelligence is developed and used responsibly. It covers ethical guidelines, compliance standards, and oversight mechanisms to keep AI safe, fair, and accountable.
How does the EU AI Act affect businesses?
The EU AI Act requires businesses to classify their AI systems by risk level and meet specific obligations. High-risk systems need conformity assessments, technical documentation, and human oversight. Non-compliance can result in fines up to €35 million or 7% of global turnover.
What is the NIST AI Risk Management Framework?
The NIST AI RMF is a voluntary U.S. framework that helps organizations identify, assess, and mitigate AI-related risks. It is built around four core functions: Govern, Map, Measure, and Manage.
Why is AI compliance important?
AI compliance is critical because governments worldwide are actively enforcing AI regulations. The EU AI Act carries heavy fines, the U.S. has expanded federal AI oversight, and countries like Canada, Brazil, and China have enacted AI-specific laws. Non-compliance risks penalties, reputational harm, and operational disruption.
What are the key AI ethics principles?
The key AI ethics principles are fairness, transparency, accountability, privacy, safety, human oversight, and inclusiveness. These principles are reflected in major frameworks including the OECD AI Principles and the EU Ethics Guidelines for Trustworthy AI.
How do organizations implement AI risk management?
Organizations implement AI risk management by creating governance structures, running impact assessments, testing for bias, monitoring model performance, and documenting decisions. The NIST AI RMF and ISO/IEC 42001 provide standardized approaches for this process.
What AI regulations exist worldwide?
Major AI regulations include the EU AI Act, U.S. Executive Orders on AI Safety, Canada's AIDA, South Korea's AI Basic Act, China's Generative AI rules, Brazil's AI framework, and Japan's AI guidelines. Over 60 countries have enacted or proposed AI-specific regulations.
What is an AI impact assessment?
An AI impact assessment is a structured evaluation of how an AI system may affect individuals and society. It examines risks such as bias, privacy violations, and safety concerns. The EU AI Act requires mandatory impact assessments for all high-risk AI systems.
What is ISO/IEC 42001?
ISO/IEC 42001 is the international standard for AI management systems. It provides a certification framework that helps organizations establish, implement, and improve their AI governance practices in a structured and auditable way.
What is the AI Bill of Rights?
The AI Bill of Rights is a White House blueprint outlining five principles to protect Americans from AI harms: safe and effective systems, freedom from algorithmic discrimination, data privacy, notice and explanation, and human alternatives and fallback options.
How does AI Governance Watch work?
AI Governance Watch aggregates news from over 21 trusted sources including MIT Technology Review, TechCrunch, and The Verge. Articles are automatically categorized into topics like regulation, policy, ethics, compliance, and enforcement to help professionals track AI governance developments.
What is algorithmic bias in AI?
Algorithmic bias occurs when an AI system produces systematically unfair outcomes due to flawed data or design assumptions. It can lead to discrimination based on race, gender, or other protected characteristics. Detecting and mitigating bias is a core requirement of most AI governance frameworks.
What are the key AI governance frameworks in 2026?
The key AI governance frameworks are the EU AI Act, NIST AI RMF, OECD AI Principles, ISO/IEC 42001, the AI Bill of Rights, and Canada's AIDA. These frameworks set rules for AI risk management, compliance, and ethical use.
| Framework | Region | Status | Focus |
|---|---|---|---|
| EU AI Act | European Union | In Force | Risk-based AI regulation with tiered requirements |
| NIST AI RMF | United States | Active | Voluntary risk management framework (Govern, Map, Measure, Manage) |
| OECD AI Principles | International | Active | International guidelines for trustworthy AI |
| ISO/IEC 42001 | International | Published | AI management system certification standard |
| AI Bill of Rights | United States | Published | Blueprint for protecting civil rights in AI era |
| Canada AIDA | Canada | In Progress | Artificial Intelligence and Data Act |
According to Stanford HAI's AI Index Report, over 60 countries have enacted or proposed AI-specific regulations as of 2026. The trend is toward mandatory compliance requirements rather than voluntary guidelines.
Who publishes AI Governance Watch?
AI Governance Watch was founded by Randy New, a FinTech executive with over 30 years of leadership in infrastructure, cybersecurity, M&A integration, and regulatory compliance. Randy operates at the intersection of financial technology and emerging risk disciplines, with a particular focus on cybersecurity intelligence and AI governance.
Randy New also publishes Cyber Security Wire (cybersecurities.pro) and Human vs AI (humanvsai.tech). AI Governance Watch curates and aggregates AI governance news from authoritative sources including MIT Technology Review, TechCrunch, The Verge, and specialized AI policy publications.
For more information, visit our contact page or subscribe to our newsletter for daily or weekly updates.
Expert Perspectives on AI Governance
"AI technologies can provide substantial benefits, but also pose risks. A responsible approach to AI requires both innovation and guardrails."
"AI actors should respect the rule of law, human rights, democratic values, and diversity, and should implement appropriate safeguards to ensure a fair and just society."
"Among the great challenges posed to democracy today is the use of technology, data, and automated systems in ways that threaten the rights of the American public."
"Artificial intelligence should be a tool for people and be a force for good in society, with the ultimate aim of increasing human well-being."
"The number of AI-related regulations has increased sharply in recent years. In 2023 alone, there were 25 AI-related regulations enacted in the U.S., a significant increase from just one in 2016."
"AI systems must not be used for social scoring or mass surveillance purposes. Member States should ensure that AI systems do not undermine human dignity."
Authoritative References
- NIST AI Risk Management Framework - U.S. National Institute of Standards and Technology
- EU AI Act - European Union Artificial Intelligence Act
- OECD AI Principles - Organisation for Economic Co-operation and Development
- Stanford HAI - Stanford Institute for Human-Centered Artificial Intelligence
- ISO/IEC 42001 - AI Management System Standard
- AI Bill of Rights - White House Blueprint
- Partnership on AI - Multi-stakeholder AI Best Practices